code: def module_cls():
      """Simple mock module for triggering scoring.
  
      This module returns the input without modifying it.
  
      """
  
      class MyModule(nn.Module):
          def __init__(self):
              super(MyModule, self).__init__()
              self.dense = nn.Linear(1, 1)
  
          # pylint: disable=arguments-differ
          def forward(self, X):
              X = X + 0.0 * self.dense(X)
              return X
  
      return MyModule
  
file_path: skorch/skorch/tests/conftest.py
imports: import numpy
  import pytest
  from sklearn.datasets import make_classification
  from sklearn.datasets import make_regression
  from sklearn.preprocessing import StandardScaler
  import torch
  from torch import nn
label_desc: Use image node_id 2 for calling a global function with example usage: module_cls() and returns: MyModule, X